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Author : DR PETER J. BENTLEY
Publisher : Michael O'Mara Books
ISBN 13 : 9781789296815
Total Pages : 0 pages
Book Rating : 4.2/5 (968 download)
Download or read book Artificial Intelligence in Byte-Sized Chunks written by DR PETER J. BENTLEY and published by Michael O'Mara Books. This book was released on 2024-06-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter J. Bentley
Publisher : Michael O'Mara Books
ISBN 13 : 1789296587
Total Pages : 253 pages
Book Rating : 4.7/5 (892 download)
Download or read book Artificial Intelligence in Byte-sized Chunks written by Peter J. Bentley and published by Michael O'Mara Books. This book was released on 2024-06-20 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new addition to the popular Bite-sized Chunks series, this expert-led book will explore the science and technology behind AI.
Author : Chris Stokel-Walker
Publisher : Michael O'Mara Books
ISBN 13 : 1789295602
Total Pages : 262 pages
Book Rating : 4.7/5 (892 download)
Download or read book The History of the Internet in Byte-Sized Chunks written by Chris Stokel-Walker and published by Michael O'Mara Books. This book was released on 2023-10-26 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating, accessible and expertly written introduction to the most important invention in human history: the internet.
Author : Jarred Capellman
Publisher : Packt Publishing Ltd
ISBN 13 : 1789804299
Total Pages : 287 pages
Book Rating : 4.7/5 (898 download)
Download or read book Hands-On Machine Learning with ML.NET written by Jarred Capellman and published by Packt Publishing Ltd. This book was released on 2020-03-27 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core Key FeaturesGet well-versed with the ML.NET framework and its components and APIs using practical examplesLearn how to build, train, and evaluate popular machine learning algorithms with ML.NET offeringsExtend your existing machine learning models by integrating with TensorFlow and other librariesBook Description Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. With this book, you’ll explore how to build ML.NET applications with the various ML models available using C# code. The book starts by giving you an overview of ML and the types of ML algorithms used, along with covering what ML.NET is and why you need it to build ML apps. You’ll then explore the ML.NET framework, its components, and APIs. The book will serve as a practical guide to helping you build smart apps using the ML.NET library. You’ll gradually become well versed in how to implement ML algorithms such as regression, classification, and clustering with real-world examples and datasets. Each chapter will cover the practical implementation, showing you how to implement ML within .NET applications. You’ll also learn to integrate TensorFlow in ML.NET applications. Later you’ll discover how to store the regression model housing price prediction result to the database and display the real-time predicted results from the database on your web application using ASP.NET Core Blazor and SignalR. By the end of this book, you’ll have learned how to confidently perform basic to advanced-level machine learning tasks in ML.NET. What you will learnUnderstand the framework, components, and APIs of ML.NET using C#Develop regression models using ML.NET for employee attrition and file classificationEvaluate classification models for sentiment prediction of restaurant reviewsWork with clustering models for file type classificationsUse anomaly detection to find anomalies in both network traffic and login historyWork with ASP.NET Core Blazor to create an ML.NET enabled web applicationIntegrate pre-trained TensorFlow and ONNX models in a WPF ML.NET application for image classification and object detectionWho this book is for If you are a .NET developer who wants to implement machine learning models using ML.NET, then this book is for you. This book will also be beneficial for data scientists and machine learning developers who are looking for effective tools to implement various machine learning algorithms. A basic understanding of C# or .NET is mandatory to grasp the concepts covered in this book effectively.
Author : Dorothy Hinshaw Patent
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (45 download)
Download or read book The Quest for Artificial Intelligence written by Dorothy Hinshaw Patent and published by . This book was released on 1986 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Chris Stokel-Walker
Publisher : Canbury Press
ISBN 13 : 191448732X
Total Pages : 320 pages
Book Rating : 4.9/5 (144 download)
Download or read book How AI Ate the World written by Chris Stokel-Walker and published by Canbury Press. This book was released on 2024-05-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'An excellent starter for those who want to gain an insight into how AI works and why it's likely to shape our lives.' – The Daily Telegraph Artificial intelligence will shake up our lives as thoroughly as the arrival of the internet. This popular, up-to-date book charts AI’s rise from its Cold War origins to its explosive growth in the 2020s. Tech journalist Chris Stokel-Walker (TikTok Boom and YouTubers) goes into the laboratories of the Silicon Valley innovators making rapid advances in ‘large language models’ of machine learning. He meets the insiders at Google and OpenAI who built Gemini and ChatGPT and reveals the extraordinary plans they have for them. Along the way, he explores AI’s dark side by talking to workers who have lost their jobs to bots and engages with futurologists worried that a man-made super-intelligence could threaten humankind. He answers critical questions about the AI revolution, such as what humanity might be jeopardising and the professions that will win and lose – and whether the existential threat technologists Elon Musk and Sam Altman are warning about is realistic – or a smokescreen to divert attention away from their growing power. How AI Ate the World is a ‘start here’ guide for anyone who wants to know more about the world we have just entered. Reviews 'An excellent starter for those who want to gain an insight into how AI works and why it's likely to shape our lives.' The Daily Telegraph 'How AI Ate the World prodigiously captures the key issues and concerns around artificial intelligence.' Azeem Azhar, Exponential View 'From ancient China to Victorian England, How AI Ate The World is the story of the characters, moments, technologies, and relationships that populate the rich history of artificial intelligence... How AI Ate The World grapples with what the age of automation means for the people living through it.' Harry Law, University of Cambridge 'A witty, engaging book that takes us through AI's bumpy past to help us understand its present, and future, impacts. I highly recommend it to anyone who is impacted by AI tech – which is to say, everyone on the planet.' Sasha Luccioni, Hugging Face 'Easily the most comprehensive book on AI I have read so far, covering all the key issues' Peter Hunt, Business & Tech Correspondent, Evening Standard 'A comprehensive and compelling look at the technology that's transforming our world. It's an essential guide, full of surprises, to the technology you need to know.' Matt Navarra, social media expert 'Whether you are new to AI or have been following the AI hype for years, Chris Stokel-Walker offers an entertaining balance of history, context and insight that has something for everyone. The story of AI’s evolution is a complex one, but Stokel-Walker tackles it in a clear, direct way that will bring you up to speed while helping you grapple with what it all means — for individuals, the workplace, society and the planet.' Sharon Goldman, VentureBeat 'This book is a wild, brilliant ride through centuries of thinking about and decades of developing machines that can learn. As a crash course in how we got to this current point of thrilling chaos, it will take some beating. Whether or not you agree with Stokel-Walker’s solutions or not, How AI Ate The World is essential reading to understand where we are and how we got here' Ciaran Martin, former CEO, UK National Cyber Security Centre Buy the book to discover your future
Author : Dr. Yuetong Lin
Publisher : DEStech Publications, Inc
ISBN 13 : 1605951323
Total Pages : 460 pages
Book Rating : 4.6/5 (59 download)
Download or read book 2013 International Conference on Computer Science and Artificial Intelligence written by Dr. Yuetong Lin and published by DEStech Publications, Inc. This book was released on 2014-11-16 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of ICCSAI2013 is to provide a platform for the presentation of top and latest research results in global scientific areas. The conference aims to provide a high level international forum for researcher, engineers and practitioners to present and discuss recent advances and new techniques in computer science and artificial intelligence. It also serves to foster communications among researcher, engineers and practitioners working in a common interest in improving computer science, artificial intelligence and the related fields. We have received 325 numbers of papers through "Call for Paper", out of which 94 numbers of papers were accepted for publication in the conference proceedings through double blind review process. The conference is designed to stimulate the young minds including Research Scholars, Academicians, and Practitioners to contribute their ideas, thoughts and nobility in these two disciplines.
Author : Northrup, Pamela
Publisher : IGI Global
ISBN 13 : 1799819299
Total Pages : 357 pages
Book Rating : 4.7/5 (998 download)
Download or read book Career Ready Education Through Experiential Learning written by Northrup, Pamela and published by IGI Global. This book was released on 2021-03-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the promise of competency-based education (CBE), learner-centered issues related to support, retention, and program completion rates remain problematic. In addition, the infrastructure for higher education, including issues related to faculty (intellectual property, workload, and curriculum), pose barriers and challenges in the design, development, implementation, and delivery of CBE. In response, administrators, faculty, designers, and developers of competency-based experiences must incorporate innovative strategies that are foreign to the traditional institution. A strong emphasis on retention and graduation rates must surround the student with support, starting with the design and development of the CBE system. There are few resources that can help prepare instructional designers, advisors, academic administrators, and faculty to meet the many challenges of designing, developing, implementing, and managing CBE. Career Ready Education Through Experiential Learning is an essential reference book that includes strategies for design and development of competency-based education (CBE) programs, as well as administrative and delivery strategies as examples of how CBE can be implemented. Through a strong theoretical framework, chapters present the best practices, strategies, and practical tips as examples and scenarios that can be used in higher education settings. While highlighting education courses, programs, and lessons across various institutions and educational domains, this book is ideal for higher education administrators and policy designers/implementors, instructional designers, curriculum developers, faculty, public policy leaders, students in curriculum and instruction and instructional technology programs, along with researchers and practitioners interested in CBE and experiential learning in higher education.
Author : Věra Kůrková
Publisher : Springer
ISBN 13 : 303001424X
Total Pages : 866 pages
Book Rating : 4.0/5 (3 download)
Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-10-02 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.
Author : Velliangiri Sarveshwaran
Publisher : Springer Nature
ISBN 13 : 9819921155
Total Pages : 374 pages
Book Rating : 4.8/5 (199 download)
Download or read book Artificial Intelligence and Cyber Security in Industry 4.0 written by Velliangiri Sarveshwaran and published by Springer Nature. This book was released on 2023-07-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
Author : Dr.Kashif Qureshi
Publisher : Booksclinic Publishing
ISBN 13 : 9388797272
Total Pages : 566 pages
Book Rating : 4.3/5 (887 download)
Download or read book Cutting-Edge Evolutions of Information Technology written by Dr.Kashif Qureshi and published by Booksclinic Publishing. This book was released on 2019-06-14 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Just some years before, there have been no throngs of Machine Learning, scientists developing intelligent merchandise and services at major corporations and startups. Once the youngest folks (the authors) entered the sector, machine learning didn’t command headlines in daily newspapers. Our oldsters had no plan what machine learning was, including why we would like it to a career in medication or law. Machine learning was an advanced tutorial discipline with a slender set of real-world applications. And people applications, e.g. speech recognition and pc vision, needed most domain data that they were usually thought to be separate areas entirely that machine learning was one tiny part. Neural networks, the antecedents of the deep learning models that we tend to specialize in during this book, were thought to be out-of-date tools. In simply the previous five years, deep learning has taken the world by surprise, using fast progress in fields as diverse as laptop vision, herbal language processing, computerized speech recognition, reinforcement learning, and statistical modelling. With these advances in hand, we can now construct cars that power themselves (with increasing autonomy), clever reply structures that anticipate mundane replies, assisting humans to dig out from mountains of email, and software program retailers that dominate the world’s first-class people at board video games like Go, a feat once deemed to be a long time away. Already, these equipment are exerting a widening impact, changing the way films are made, diseases are…diagnosed, and enjoying a developing role in simple sciences – from astrophysics to biology. This e-book represents our attempt to make deep learning approachable, instructing you each the concepts, the context, and the code."
Author : Xiaofeng Chen
Publisher : Springer Nature
ISBN 13 : 3030622231
Total Pages : 674 pages
Book Rating : 4.0/5 (36 download)
Download or read book Machine Learning for Cyber Security written by Xiaofeng Chen and published by Springer Nature. This book was released on 2020-11-10 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Author : Sabu M. Thampi
Publisher : Springer Nature
ISBN 13 : 9811543011
Total Pages : 265 pages
Book Rating : 4.8/5 (115 download)
Download or read book Machine Learning and Metaheuristics Algorithms, and Applications written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-04 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.
Author : Hamid R. Arabnia
Publisher : Springer Nature
ISBN 13 : 3030702960
Total Pages : 1152 pages
Book Rating : 4.0/5 (37 download)
Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).
Author : Allam Hamdan
Publisher : Springer Nature
ISBN 13 : 3031358287
Total Pages : 1145 pages
Book Rating : 4.0/5 (313 download)
Download or read book Artificial Intelligence and Transforming Digital Marketing written by Allam Hamdan and published by Springer Nature. This book was released on 2023-10-03 with total page 1145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how AI is transforming digital marketing and what it means for businesses of all sizes and looks at how AI is being used to personalize content, improve targeting, and optimize campaigns. This book also examines some of the ethical considerations that come with using AI in marketing.
Author : Peter Bentley
Publisher : Morgan Kaufmann
ISBN 13 : 9781558606050
Total Pages : 482 pages
Book Rating : 4.6/5 (6 download)
Download or read book Evolutionary Design by Computers written by Peter Bentley and published by Morgan Kaufmann. This book was released on 1999-05-28 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Evolutionary Design By Computers offers an enticing preview of the future of computer-aided design: Design by Darwin." Lawrence J. Fogel, President, Natural Selection, Inc. "Evolutionary design by computers is the major revolution in design thinking of the 20th century and this book is the best introduction available." Professor John Frazer, Swire Chair and Head of School of Design, the Hong Kong Polytechnic University, Author of "An Evolutionary Architecture" "Peter Bentley has assembled and edited an important collection of papers that demonstrate, convincingly, the utility of evolutionary computation for engineering solutions to complex problems in design." David B. Fogel, Editor-in-Chief, IEEE Transactions on Evolutionary Computation Some of the most startling achievements in the use of computers to automate design are being accomplished by the use of evolutionary search algorithms to evolve designs. Evolutionary Design By Computers provides a showcase of the best and most original work of the leading international experts in Evolutionary Computation, Engineering Design, Computer Art, and Artificial Life. By bringing together the highest achievers in these fields for the first time, including a foreword by Richard Dawkins, this book provides the definitive coverage of significant developments in Evolutionary Design. This book explores related sub-areas of Evolutionary Design, including: design optimization creative design the creation of art artificial life. It shows for the first time how techniques in each area overlap, and promotes the cross-fertilization of ideas and methods.
Author : Alok Choudhary
Publisher : World Scientific
ISBN 13 : 9811265682
Total Pages : 803 pages
Book Rating : 4.8/5 (112 download)
Download or read book Artificial Intelligence For Science: A Deep Learning Revolution written by Alok Choudhary and published by World Scientific. This book was released on 2023-03-21 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
